Grants per year
Personal profile
Research Interests
Professor Mehrotra is an expert in methodologies for decision making under uncertainty and its applications to problems in Health Systems Engineering and other Operations Research applications.
His current optimization methodology research focus is in the area of Optimization under Uncertainty, with a focus on Distributionally-Robust risk-based optimization. His healthcare systems engineering work includes policy and operations modeling, using modern operations research tools.
Education/Academic qualification
Operations Research, PhD, Columbia University
… → 1987
Industrial Engineering, MS, Columbia University
… → 1985
Industrial Engineering, BE, Indian Institute of Technology Roorkee
… → 1983
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Rescuing Kidneys at Risk of Discard
Mehrotra, S., Friedewald, J. J., Gordon, E., Ladner, D. P. & Nelson, B. L.
National Institute of Diabetes and Digestive and Kidney Diseases
4/1/19 → 3/31/23
Project: Research project
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Equitable and Efficient Scarce Resource Allocation using Stochastic Fractional Optimization
9/1/18 → 8/31/22
Project: Research project
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LIVOPT -- LIVer cirrhosis - Optimizing Prediction of Patient OuTcomes
Ladner, D. P., Mehrotra, S., Furmanchuk, A., VanWagner, L. B. & Zhao, L.
National Institute on Aging, National Institutes of Health
9/30/21 → 5/31/26
Project: Research project
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A Chicagoland Prototype Coronavirus Assessment Network Node (PCANN)
Packman, A., Hartmann, E. M., Jewett, M. C., Lucks, J. B., Mehrotra, S. & Wells, G.
University of Illinois at Chicago, Walder Foundation
9/15/20 → 9/14/21
Project: Research project
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I-Corps: Clinical Workforce Schedule Optimization Technology
10/15/17 → 9/30/18
Project: Research project
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A decomposition method for distributionally-robust two-stage stochastic mixed-integer conic programs
Luo, F. & Mehrotra, S., 2021, (Accepted/In press) In: Mathematical Programming.Research output: Contribution to journal › Article › peer-review
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A geometric branch and bound method for robust maximization of convex functions
Luo, F. & Mehrotra, S., 2021, (Accepted/In press) In: Journal of Global Optimization.Research output: Contribution to journal › Article › peer-review
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Implementation methodology from a social systems informatics and engineering perspective applied to a parenting training program.
Gallo, C. G., Berkel, C., Mauricio, A., Sandler, I., Wolchik, S., Villamar, J. A., Mehrotra, S. & Brown, C. H., 2021, In: Families, Systems and Health. 39, 1, p. 7-18 12 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Solution approaches to linear fractional programming and its stochastic generalizations using second order cone approximations
Kim, C. & Mehrotra, S., 2021, In: SIAM Journal on Optimization. 31, 1, p. 945-971 27 p.Research output: Contribution to journal › Article › peer-review
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A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19
Mehrotra, S., Rahimian, H., Barah, M., Luo, F. & Schantz, K., Aug 1 2020, In: Naval Research Logistics. 67, 5, p. 303-320 18 p.Research output: Contribution to journal › Article › peer-review
Open Access19 Scopus citations